Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska ...
Questions Is it possible to map floristic gradients in heterogeneous boreal vegetation by using remote‐sensing data? Does a continuous vegetation map enable the creation of a spatially continuous map of seasonal permafrost soil thaw depth? Location Bonanza Creek LTER, Fairbanks, Alaska, USA. Methods...
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Technische Universität Berlin
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Online Access: | https://dx.doi.org/10.14279/depositonce-12092 https://depositonce.tu-berlin.de/handle/11303/13300 |
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ftdatacite:10.14279/depositonce-12092 2023-08-27T04:11:30+02:00 Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska ... Döpper, Veronika Panda, Santosh Waigl, Christine Braun, Matthias Feilhauer, Hannes 2021 https://dx.doi.org/10.14279/depositonce-12092 https://depositonce.tu-berlin.de/handle/11303/13300 en eng Technische Universität Berlin Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode cc-by-nc-4.0 550 Geowissenschaften boreal vegetation ordination permafrost predictive mapping remote sensing soil–vegetation interaction Text article-journal Article ScholarlyArticle 2021 ftdatacite https://doi.org/10.14279/depositonce-12092 2023-08-07T14:24:23Z Questions Is it possible to map floristic gradients in heterogeneous boreal vegetation by using remote‐sensing data? Does a continuous vegetation map enable the creation of a spatially continuous map of seasonal permafrost soil thaw depth? Location Bonanza Creek LTER, Fairbanks, Alaska, USA. Methods Vegetation records are subjected to an ordination to extract the predominant floristic gradient. The ordination scores are then extrapolated using Sentinel 2 imagery and a digital elevation model (DEM). As the relation between vegetation pattern and seasonal thaw depth was confirmed in this study, the spatial distribution of ordination scores is then used to predict seasonal thaw depth over the same area. Results The first dimension of the ordination space separates species corresponding to moist and cold soil conditions from species associated with well‐drained soils. This floristic gradient was successfully mapped within the sampled plant communities. The extrapolated thaw depths follow the typical distribution ... Article in Journal/Newspaper permafrost Alaska DataCite Metadata Store (German National Library of Science and Technology) Bonanza ENVELOPE(-119.820,-119.820,55.917,55.917) Fairbanks |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
topic |
550 Geowissenschaften boreal vegetation ordination permafrost predictive mapping remote sensing soil–vegetation interaction |
spellingShingle |
550 Geowissenschaften boreal vegetation ordination permafrost predictive mapping remote sensing soil–vegetation interaction Döpper, Veronika Panda, Santosh Waigl, Christine Braun, Matthias Feilhauer, Hannes Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska ... |
topic_facet |
550 Geowissenschaften boreal vegetation ordination permafrost predictive mapping remote sensing soil–vegetation interaction |
description |
Questions Is it possible to map floristic gradients in heterogeneous boreal vegetation by using remote‐sensing data? Does a continuous vegetation map enable the creation of a spatially continuous map of seasonal permafrost soil thaw depth? Location Bonanza Creek LTER, Fairbanks, Alaska, USA. Methods Vegetation records are subjected to an ordination to extract the predominant floristic gradient. The ordination scores are then extrapolated using Sentinel 2 imagery and a digital elevation model (DEM). As the relation between vegetation pattern and seasonal thaw depth was confirmed in this study, the spatial distribution of ordination scores is then used to predict seasonal thaw depth over the same area. Results The first dimension of the ordination space separates species corresponding to moist and cold soil conditions from species associated with well‐drained soils. This floristic gradient was successfully mapped within the sampled plant communities. The extrapolated thaw depths follow the typical distribution ... |
format |
Article in Journal/Newspaper |
author |
Döpper, Veronika Panda, Santosh Waigl, Christine Braun, Matthias Feilhauer, Hannes |
author_facet |
Döpper, Veronika Panda, Santosh Waigl, Christine Braun, Matthias Feilhauer, Hannes |
author_sort |
Döpper, Veronika |
title |
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska ... |
title_short |
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska ... |
title_full |
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska ... |
title_fullStr |
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska ... |
title_full_unstemmed |
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska ... |
title_sort |
using floristic gradient mapping to assess seasonal thaw depth in interior alaska ... |
publisher |
Technische Universität Berlin |
publishDate |
2021 |
url |
https://dx.doi.org/10.14279/depositonce-12092 https://depositonce.tu-berlin.de/handle/11303/13300 |
long_lat |
ENVELOPE(-119.820,-119.820,55.917,55.917) |
geographic |
Bonanza Fairbanks |
geographic_facet |
Bonanza Fairbanks |
genre |
permafrost Alaska |
genre_facet |
permafrost Alaska |
op_rights |
Creative Commons Attribution Non Commercial 4.0 International https://creativecommons.org/licenses/by-nc/4.0/legalcode cc-by-nc-4.0 |
op_doi |
https://doi.org/10.14279/depositonce-12092 |
_version_ |
1775354374809190400 |